Update multiple choice questions generation.

helper/exercises.py

@@ -53,6 +53,7 @@ def replace_first_occurrences_with_placeholders(text: str, words_to_replace: lis
         text = pattern.sub(placeholder, text, 1)
     return text
 
+
 def replace_first_occurrences_with_placeholders_notes(notes: list, words_to_replace: list, start_id):
     replaced_notes = []
     for i, note in enumerate(notes, start=0):
@@ -63,6 +64,7 @@ def replace_first_occurrences_with_placeholders_notes(notes: list, words_to_repl
         replaced_notes.append(note)
     return replaced_notes
 
+
 def add_random_words_and_shuffle(word_array, num_random_words):
     r = RandomWord()
     random_words_selected = r.random_words(num_random_words)
@@ -107,6 +109,7 @@ def build_write_blanks_text(questions: [], start_id):
         result = result + q["question"] + placeholder + "\\n"
     return result
 
+
 def build_write_blanks_text_form(form: [], start_id):
     result = ""
     replaced_words = []
@@ -147,6 +150,7 @@ def build_write_blanks_solutions(questions: [], start_id):
         )
     return solutions
 
+
 def build_write_blanks_solutions_listening(words: [], start_id):
     solutions = []
     for i, word in enumerate(words, start=start_id):
@@ -212,6 +216,7 @@ def generate_listening_1_conversation(topic: str):
             segment['voice'] = voice
     return response, processed
 
+
 def generate_listening_2_monologue(topic: str):
     gen_listening_2_monologue_social = "Generate a comprehensive monologue set in the social context of: '" + topic + "'"
     token_count = count_tokens(gen_listening_2_monologue_social)["n_tokens"]
@@ -224,6 +229,7 @@ def generate_listening_2_monologue(topic: str):
     )
     return response
 
+
 def generate_listening_3_conversation(topic: str):
     gen_listening_3_conversation_4_people = "Compose an authentic and elaborate conversation between up to four individuals " \
                                             "in the everyday social context of '" + topic + \
@@ -264,6 +270,7 @@ def generate_listening_3_conversation(topic: str):
             segment['voice'] = voice
     return response, processed
 
+
 def generate_listening_4_monologue(topic: str):
     gen_listening_4_monologue_academic = "Generate a comprehensive monologue an academic subject of: '" + topic + "'"
     token_count = count_tokens(gen_listening_4_monologue_academic)["n_tokens"]
@@ -276,6 +283,7 @@ def generate_listening_4_monologue(topic: str):
     )
     return response
 
+
 def generate_reading_exercises(passage: str, req_exercises: list, number_of_exercises_q, start_id):
     exercises = []
     for req_exercise in req_exercises:
@@ -302,6 +310,7 @@ def generate_reading_exercises(passage: str, req_exercises: list, number_of_exer
 
     return exercises
 
+
 def generate_listening_conversation_exercises(conversation: str, req_exercises: list, number_of_exercises_q, start_id):
     exercises = []
     for req_exercise in req_exercises:
@@ -312,15 +321,18 @@ def generate_listening_conversation_exercises(conversation: str, req_exercises:
             exercises.append(question)
             print("Added multiple choice: " + str(question))
         elif req_exercise == "writeBlanksQuestions":
-            question = gen_write_blanks_questions_exercise_listening_conversation(conversation, number_of_exercises, start_id)
+            question = gen_write_blanks_questions_exercise_listening_conversation(conversation, number_of_exercises,
+                                                                                  start_id)
             exercises.append(question)
             print("Added write blanks questions: " + str(question))
         elif req_exercise == "writeBlanksFill":
-            question = gen_write_blanks_notes_exercise_listening_conversation(conversation, number_of_exercises, start_id)
+            question = gen_write_blanks_notes_exercise_listening_conversation(conversation, number_of_exercises,
+                                                                              start_id)
             exercises.append(question)
             print("Added write blanks notes: " + str(question))
         elif req_exercise == "writeBlanksForm":
-            question = gen_write_blanks_form_exercise_listening_conversation(conversation, number_of_exercises, start_id)
+            question = gen_write_blanks_form_exercise_listening_conversation(conversation, number_of_exercises,
+                                                                             start_id)
             exercises.append(question)
             print("Added write blanks form: " + str(question))
 
@@ -328,6 +340,7 @@ def generate_listening_conversation_exercises(conversation: str, req_exercises:
 
     return exercises
 
+
 def generate_listening_monologue_exercises(monologue: str, req_exercises: list, number_of_exercises_q, start_id):
     exercises = []
     for req_exercise in req_exercises:
@@ -354,6 +367,7 @@ def generate_listening_monologue_exercises(monologue: str, req_exercises: list,
 
     return exercises
 
+
 def gen_multiple_choice_exercise(text: str, quantity: int, start_id):
     gen_multiple_choice_for_text = "Generate " + str(quantity) + " multiple choice questions for this text: " \
                                                                  "'" + text + "'\n" \
@@ -375,7 +389,13 @@ def gen_multiple_choice_exercise(text: str, quantity: int, start_id):
     question = make_openai_instruct_call(GPT_3_5_TURBO_INSTRUCT, parse_mc_questions, token_count,
                                          ["questions"],
                                          GEN_QUESTION_TEMPERATURE)
-    return fix_exercise_ids(question, start_id)
+    return {
+        "id": str(uuid.uuid4()),
+        "prompt": "Select the appropriate option.",
+        "questions": fix_exercise_ids(question, start_id)["questions"],
+        "type": "multipleChoice",
+    }
+
 
 def gen_summary_fill_blanks_exercise(text: str, quantity: int, start_id):
     gen_summary_for_text = "Summarize this text: " + text
@@ -408,6 +428,7 @@ def gen_summary_fill_blanks_exercise(text: str, quantity: int, start_id):
 
     }
 
+
 def gen_true_false_not_given_exercise(text: str, quantity: int, start_id):
     gen_true_false_not_given = "Generate " + str(
         quantity) + " statements in JSON format (True, False, or Not Given) " \
@@ -436,6 +457,7 @@ def gen_true_false_not_given_exercise(text: str, quantity: int, start_id):
         "type": "trueFalse"
     }
 
+
 def gen_write_blanks_exercise(text: str, quantity: int, start_id):
     gen_short_answer_questions = "Generate " + str(quantity) + " short answer questions, and the possible answers " \
                                                                "(max 3 words per answer), about this text: '" + text + "'. " \
@@ -456,8 +478,10 @@ def gen_write_blanks_exercise(text: str, quantity: int, start_id):
         "type": "writeBlanks"
     }
 
+
 def gen_multiple_choice_exercise_listening_conversation(text: str, quantity: int, start_id):
-    gen_multiple_choice_for_text = "Generate " + str(quantity) + " multiple choice questions of 4 options for this conversation: " \
+    gen_multiple_choice_for_text = "Generate " + str(
+        quantity) + " multiple choice questions of 4 options for this conversation: " \
                     "'" + text + "'"
     token_count = count_tokens(gen_multiple_choice_for_text)["n_tokens"]
     mc_questions = make_openai_instruct_call(GPT_3_5_TURBO_INSTRUCT, gen_multiple_choice_for_text, token_count,
@@ -472,7 +496,13 @@ def gen_multiple_choice_exercise_listening_conversation(text: str, quantity: int
     question = make_openai_instruct_call(GPT_3_5_TURBO_INSTRUCT, parse_mc_questions, token_count,
                                          ["questions"],
                                          GEN_QUESTION_TEMPERATURE)
-    return fix_exercise_ids(question, start_id)
+    return {
+        "id": str(uuid.uuid4()),
+        "prompt": "Select the appropriate option.",
+        "questions": fix_exercise_ids(question, start_id)["questions"],
+        "type": "multipleChoice",
+    }
+
 
 def gen_multiple_choice_exercise_listening_monologue(text: str, quantity: int, start_id):
     gen_multiple_choice_for_text = "Generate " + str(quantity) + " multiple choice questions for this monologue: " \
@@ -490,7 +520,13 @@ def gen_multiple_choice_exercise_listening_monologue(text: str, quantity: int, s
     question = make_openai_instruct_call(GPT_3_5_TURBO_INSTRUCT, parse_mc_questions, token_count,
                                          ["questions"],
                                          GEN_QUESTION_TEMPERATURE)
-    return fix_exercise_ids(question, start_id)
+    return {
+        "id": str(uuid.uuid4()),
+        "prompt": "Select the appropriate option.",
+        "questions": fix_exercise_ids(question, start_id)["questions"],
+        "type": "multipleChoice",
+    }
+
 
 def gen_write_blanks_questions_exercise_listening_conversation(text: str, quantity: int, start_id):
     gen_write_blanks_questions = "Generate " + str(quantity) + " short answer questions, and the possible answers " \
@@ -513,6 +549,7 @@ def gen_write_blanks_questions_exercise_listening_conversation(text: str, quanti
         "type": "writeBlanks"
     }
 
+
 def gen_write_blanks_questions_exercise_listening_monologue(text: str, quantity: int, start_id):
     gen_write_blanks_questions = "Generate " + str(quantity) + " short answer questions, and the possible answers " \
                                                                "(max 3 words per answer), about a monologue and" \
@@ -534,6 +571,7 @@ def gen_write_blanks_questions_exercise_listening_monologue(text: str, quantity:
         "type": "writeBlanks"
     }
 
+
 def gen_write_blanks_notes_exercise_listening_conversation(text: str, quantity: int, start_id):
     gen_write_blanks_notes = "Generate " + str(quantity) + " notes taken from the conversation and and respond in this " \
                                                            "JSON format: { \"notes\": [\"note_1\", \"note_2\"] }. The monologue is this: '" + text + "'"
@@ -558,6 +596,7 @@ def gen_write_blanks_notes_exercise_listening_conversation(text: str, quantity:
         "type": "writeBlanks"
     }
 
+
 def gen_write_blanks_notes_exercise_listening_monologue(text: str, quantity: int, start_id):
     gen_write_blanks_notes = "Generate " + str(quantity) + " notes taken from the monologue and and respond in this " \
                                                            "JSON format: { \"notes\": [\"note_1\", \"note_2\"] }. The monologue is this: '" + text + "'"
@@ -582,6 +621,7 @@ def gen_write_blanks_notes_exercise_listening_monologue(text: str, quantity: int
         "type": "writeBlanks"
     }
 
+
 def gen_write_blanks_form_exercise_listening_conversation(text: str, quantity: int, start_id):
     gen_write_blanks_form = "Generate a form with " + str(quantity) + " key-value pairs about the conversation. " \
                                                                       "The conversation is this: '" + text + "'"
@@ -604,6 +644,7 @@ def gen_write_blanks_form_exercise_listening_conversation(text: str, quantity: i
         "type": "writeBlanks"
     }
 
+
 def gen_write_blanks_form_exercise_listening_monologue(text: str, quantity: int, start_id):
     gen_write_blanks_form = "Generate a form with " + str(quantity) + " key-value pairs about the monologue. " \
                                                                       "The monologue is this: '" + text + "'"